New York City Health Atlas

Injury ER Visits

Compare This Metric

Description

Number of emergency room visits for injuries, poisonings, or accidents.


Calculation

Number of ER visits for injuries per 1,000 population.


Source

Statewide Planning and Research Cooperative System (SPARCS) Outpatient Data, 2011-2013.


Years of Data

2011-2013


Additional Resources

City Wide Average

76.0

Census Tract 2016000 Average

25.9

Averages

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76.0 City-Wide
103.2 Bronx
25.9 Tract

Census Tract 2016000

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Injury ER Visit Rate Population (2011-2013)
All 25.9 12,384

Sex

Female 25.6 5,753
Male 31.8 6,628

Race/Ethnicity

Asian/Pacific Islander 49.2 183
Black 450.9 173
Hispanic 56.4 2,572
White 3.7 9,187

Age

0-14 years 38.9 2,007
15-24 years 42.2 1,280
25-34 years 24.5 1,793
35-44 years 18.3 1,861
45-54 years 28.6 1,572
55-64 years 15.0 2,326
65-74 years 18.7 1,015
75+ years 23.8 505
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Correlation Is Not Causation

In statistics, correlation is a measure of association between two numeric variables. The strength of correlation between two variables is represented by the correlation coefficient, represented by the abbreviation r. Correlation coefficients range between -1 to 1.

Though the correlation coefficient indicates the strength of an association, it does not provide information about whether the change in one variable is caused by the other.

For example, if the correlation between adult smoking prevalence and child poverty is 0.7—a strong correlation—we cannot say either that adult smoking causes child poverty or, inversely, that child poverty causes smoking. We only know that as one of these variables increases, the other tends to increases.